We wish to appoint a researcher in Quantitative Digital Health Research to join the Digital Health Research Theme (https://arc-gm.nihr.ac.uk/digital-health) within the NIHR Applied Research Collaboration for Greater Manchester, based at the University of Manchester. This position offers the opportunity to contribute to the implementation and evaluation of innovative digital interventions in health and social care across Greater Manchester, aimed at disease prevention; self-management; integrated and personalised care; and healthy ageing. Data science will play a key role in understanding how these interventions are being used; whether they are safe and effective; and how they could be optimised.
The overall purpose of the position is to carry out quantitative analyses of health data to evaluate digital interventions in health and social care for disease prevention, self-management, integrated and personalised care, and healthy ageing. As the postholder, you will conduct/lead the quantitative aspects of the research in close collaboration with qualitative researchers. Data sources will be electronic health records and personal health datasets collected through, e.g., smartphones and wearable devices. You will use methods from statistics and epidemiology, and apply them to these real-world health data sets. This includes a range of statistical inference and modelling (e.g., logistic and Cox regression analysis; statistical testing), as well as more advanced techniques (e.g., causal inference; machine learning). For the latter, you will be supported by health data science colleagues.
You will be a member of the multidisciplinary ARC-GM Digital Health Theme which is led by Prof Dawn Dowding and Dr Sabine van der Veer. You will also be embedded in the large group of health data scientists in the Division of Informatics, Imaging and Data Science that is led by Prof Niels Peek, Dr Matthew Sperrin and Dr Glen Martin. The group consists of statisticians, epidemiologists, computer scientists, and bioinformaticians. It has a focus on clinical prediction models, and has close links to the University of Manchester's Institute for Data Science and AI, and to the Alan Turing Institute, the UK's National Institute for Data Science and AI. Both the ARC-GM Digital Health Theme and the Division work closely with Health Innovation Manchester (https://healthinnovationmanchester.com/) and the recently established Christabel Pankhurst Institute for Health Technology Research and Innovation.
(https://www.pankhurst.manchester.ac.uk/)
We have a genuine commitment to equality of opportunity for our staff and students, and are proud to employ a workforce that reflects the diverse community we serve. As the School is committed to the principles of the Race Equality Charter Mark, we would particularly welcome applications from the black, Asian and minority ethnic (BAME) community who are currently under-represented at this level in this area. All appointments will be made on merit.
The post-holder will be office-based at the University of Manchester campus on Oxford Road. However, during the pandemic many staff are either working from home or a hybrid of home and office working.
The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit:
https://www.bmh.manchester.ac.uk/about/equality/
Interviews will take place on Friday 8 July 2022 from (1.00pm to 4.30pm).
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Matthew Sperrin
Email: matthew.sperrin@manchester.ac.uk
Name: Dr Sabine van der Veer
Email: sabine.vanderveer@manchester.ac.uk
General enquiries:
Email: People.Recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
